CN112256956A - Information recommendation method and information recommendation device - Google Patents
Information recommendation method and information recommendation device Download PDFInfo
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- CN112256956A CN112256956A CN202010981516.4A CN202010981516A CN112256956A CN 112256956 A CN112256956 A CN 112256956A CN 202010981516 A CN202010981516 A CN 202010981516A CN 112256956 A CN112256956 A CN 112256956A
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Abstract
The invention discloses an information recommendation method and device, which are used for realizing unified personalized recommendation for users between an application program interface and a Web page and relate to the technical field of Internet. One embodiment of the method comprises: the method comprises the steps that a Web service is established locally by an application program end and used for communicating with a Web page in a browser, the Web page in the browser requests the local Web service through the communication, a user ID stored in the application program in advance is obtained and communicated with a recommendation service module, and the recommendation service module generates personalized information corresponding to a user according to the received user ID and returns the personalized information to the Web page for displaying. According to the embodiment of the invention, the consistency of personalized recommendation of the same equipment and different media can be realized in a mode that users feel nothing.
Description
Technical Field
The invention relates to the technical field of internet, in particular to an information recommendation method and device, which are used for realizing unified personalized recommendation for users between an application program interface and a Web page.
Background
With the popularization of mobile intelligent terminals and the development of big data artificial intelligence, personalized recommendation becomes more and more a standard matching function of mobile application, and proper personalized recommendation is performed for different users, so that the users can see interesting contents, and the use experience of the users on products is improved; for an application program developer, the satisfaction and loyalty of customers can be improved, and the customer loss is avoided.
In the technical scheme of the mobile application, an App (application) is taken as a main part, a Web (browser webpage) is taken as an auxiliary part, and the user login is strongly relied on when personalized recommendation is made, wherein the login rate of the App is high, but the login rate in the Web is low, so that the personalized recommendation in the Web is difficult to realize.
In the prior art, in order to implement uniform personalized recommendation or recommendation information sharing for users between an App (application program) interface and a Web page, a method is generally adopted in which the same ID (account) is logged in the App interface and the Web page. However, the method depends on that the user logs in the same account at both the App end and the Web end, which causes certain trouble to the user. In particular, at present, the competition of online applications is very intense, the homogenization phenomenon of each application is very serious, some users may be lost only by a design scheme of one click, and the effect expected by an application program developer cannot be achieved. Therefore, the existing personalized recommendation method is not advantageous.
Disclosure of Invention
In view of this, an embodiment of the present invention provides an information recommendation method and apparatus, which are used for implementing unified personalized recommendation for a user between an application program interface and a Web page, and can implement consistency of personalized recommendation for the same device and different media in a way that the user feels nothing.
In order to achieve the above object, according to an aspect of the embodiments of the present invention, there is provided an information recommendation method for implementing a unified personalized recommendation to a user between an application program interface and a Web page, including:
the application side creates a Web service locally for communicating with the Web page of the browser side,
the Web page of the browser side requests the local Web service through the communication, acquires a user ID stored in advance in the application program side and communicates with the recommendation service module, an
And the recommendation service module generates personalized information corresponding to the user according to the user ID acquired by the browser end and returns the personalized information to the Web page of the browser end for displaying.
Preferably, in an information recommendation method according to an aspect of the embodiments of the present invention, the user ID pre-stored in the application is obtained by:
the application program developer platform generates a random unique ID for a user, after the user login verification is successful, a login interface issues the ID unique to the user to an application program end, and the application program end stores the ID serving as the user ID in the local for other local services.
Preferably, in an information recommendation method according to an aspect of the embodiments of the present invention, the creating the Web service locally by the application program side is implemented by the following steps:
and the application program end locally creates a resident process, and the Web service returning the user ID is realized in the resident process.
Preferably, in an information recommendation method according to an aspect of the embodiments of the present invention, the Web page in the browser obtains the user ID by:
the browser side sends a request for a localhost service to request a user ID, and accesses a local interface by using the address of the localhost to acquire the user ID.
Preferably, in an information recommendation method according to an aspect of the embodiments of the present invention, further comprising the step of,
after the browser end acquires the user ID, judging whether the current Web page of the browser end stores the keyword information or not, and when the keyword information is judged to be stored, sending the keyword information to the recommendation service module, and
and the recommendation service module generates the personalized information according to the user ID and the keyword information.
In order to achieve the above object, according to another aspect of the embodiments of the present invention, there is provided an information recommendation apparatus for implementing a unified personalized recommendation to a user between an application program interface and a Web page, including:
an application end, a browser end and a recommendation service module,
wherein, the application program end establishes Web service locally for communicating with the Web page in the browser of the browser end,
the Web page of the browser side requests local Web service through the communication, acquires a user ID stored in an application program in advance, communicates with the recommendation service module, and communicates with the recommendation service module
And the recommendation service module generates personalized information corresponding to the user according to the user ID acquired by the browser end and returns the personalized information to the Web page of the browser end for display.
According to the information recommendation method and device in the above aspect and another aspect of the embodiments of the present invention, unified personalized recommendation to users can be realized between the application program interface of the App end and the Web page of the browser end, and user portrait information can be supplemented and perfected mutually, so as to realize information sharing. On one hand, under the condition that a user installs an App on a terminal device and logs in, personalized recommendation of the user corresponding to the App end can be realized on the browser end without logging in, so that personalized recommendation of a Web page is more accurate, and the user can more easily see what the user needs; on the other hand, the Web page of the browser end can feed the portrait information of the user back to the recommendation service module, and for the user who downloads the App for the first time and logs in for the first time, the situation is different from the situation that the traditional recommendation service module does not have any information of the user.
In addition, an embodiment of the present invention further provides an electronic device for information recommendation, which is characterized by including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the information recommendation method as described above.
In addition, an embodiment of the present invention further provides a computer-readable medium, on which a computer program is stored, where the computer program is executed by a processor to implement the information recommendation method as described above.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic block diagram of an information recommendation method for personalized recommendation according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a main flow of an information recommendation method for personalized recommendation according to an embodiment of the present invention;
fig. 3 is a schematic diagram of main modules of an information recommendation apparatus for personalized recommendation according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic block diagram of an information recommendation method according to an embodiment of the present invention. As shown in fig. 1, the recommendation method for personalized recommendation to a client in this embodiment is mainly implemented by three parts, that is, a recommendation service module 11 for providing a personalized recommendation service, a browser end 12 for browser operation, and an App end 13 for App operation. In the description of the present embodiment, App is an abbreviation of application program.
In this embodiment, the recommendation service module 11 for performing personalized recommendation service is configured to perform personalized recommendation for a user portrait of a user, so that the user can see information that the user wants to see. The recommendation service module 11 may be implemented by storing a predetermined program or algorithm on a medium, which is generally provided by an application developer. The browser side 12 may be various browser applications installed in the terminal device, and can browse a Web page by operating the browser side, thereby browsing desired content and information on the Web page. The App end 13 is an application program end installed on the terminal device, and at the App end, an App can be run, and content and information desired to be viewed can be selectively browsed on an App interface. The App end 13 and the browser end 12 are both installed on the same terminal device, for example, an intelligent terminal device such as a smart phone, a tablet computer, a smart watch, and the like.
The recommendation service module 11 can read, receive and access data of the browser end 12 and the App end 13, and can send personalized recommendation contents to the browser end 12 and the App end 13. By the aid of the recommendation service module 11, the browser end 12 and the App end 13 in the embodiment, personalized recommended content consistent with a user portrait can be effectively and simply displayed on the browser end 12 and the App end 13, and a user login operation does not need to be performed on both the App end 13 and the browser end 12 at the same time.
In particular, fig. 2 schematically shows a personalized recommendation method according to an embodiment of the present invention. In order to implement uniform personalized recommendation for a user between an App interface and a Web page, which is consistent with a user portrait, without performing account login operation on both App end 13 and browser end 12, according to the personalized recommendation method of the embodiment, as shown in fig. 2, first, in step S201, once App end 13 runs, App end 13 creates a Web service locally, and the Web service can be used for communicating with the Web page in browser end 12. Then, in step S202, when the user browses an application corresponding to the App end 13 through a Web page at the browser end 12, the Web page in the browser communicates with the Web service of the App end 13 and requests the Web service created locally by the App end 13 in step S201, and when the Web page in the browser successfully requests the Web service created locally by the App end 13, the Web page in the browser correspondingly acquires the user ID stored in advance in the App end 13 and communicates with the recommendation service module 11. Next, in step S203, by communicating with the browser terminal 12, the recommendation service module 11 generates personalized information corresponding to the user from the user ID received from the browser terminal 12, and returns the personalized information to the Web page of the browser terminal 12 for display. At this point, the personalized recommended content matched with the user ID of the App end can be displayed on the Web page of the browser end 12 without user login at the browser end 12.
More specifically, in step S201, the App end 13 creating the Web service locally may be formed by: once App end 13 is run by a user, App end 13 creates a resident process locally, and implements a Web service that returns a user ID stored in App end 13 in the resident process. For a resident process implementation, existing approaches, such as white keep-alive visible processes, can be used. In the above step S202, the user ID pre-stored in the App terminal 13 may be obtained as follows: when a user downloads and installs an App, the application developer platform generates a random unique ID for the user, and after the user successfully logs in and verifies the App terminal 13, the login interface issues the ID unique to the user to the App terminal 13, so that the App terminal 13 stores the ID as the user ID of the user locally for other local services. Further, in the above step S202, the Web page acquisition user ID within the browser may be obtained as follows: when the user operates the browser end 12, the browser end 12 sends a request for localhost service, requests a user ID, and accesses a local interface using the localhost address, thereby acquiring the user ID already stored locally.
According to the personalized recommendation method of the embodiment, after the step S202, the following steps may be further included: after the browser end 12 acquires the user ID, it is determined whether the current Web page of the browser end 12 stores keyword information, and when it is determined that the keyword information is stored, the keyword information is transmitted to the recommendation service module 11, and at this time, the recommendation service module can generate the personalized information according to the received user ID and in combination with the keyword information.
According to the personalized recommendation method, the recommendation service module 11 not only displays personalized content on the Web page only by means of the user ID received from the browser 12, but also recommends personalized content in combination with the keyword stored in the current Web page, thereby further improving the display of the personalized content. Therefore, the user portrait created by the client at the App end 13 before can be fully combined with the search keyword of the user at the Web page of the browser end 12, so that the current portrait of the user can be improved, and the personalized recommended content can be more accurate. In addition, the portrait searched by the user through the keywords of the Web page of the browser end 12 is also sent to the recommendation service module 11 in real time, so that the portrayal of the user portrait in the recommendation service module 11 is more perfect, and when the user operates the App end 13 later, the personalized recommended content from the browser end 12 is also regurgitated to the App end 13. Therefore, the personalized recommended content which is interworked and shared between the App end 13 and the browser end 12 can be realized.
As described above, according to the information recommendation method for performing personalized recommendation for a user in this embodiment, the inventor fully considers that in order to optimize the personalized recommendation experience of a Web page, a user profile of a recommendation system is enriched by information such as a search keyword specific to a browser end, and by locally starting a resident Web service process at an App end, the user ID of the App end can be acquired by invoking the Web service at the browser end to communicate with the App end, and the two ends, i.e., the App end and the browser end, are integrated.
Example 1
In the following, an example 1 of the embodiment of the present invention is briefly described.
The user installs App XYZ on the terminal and registers at the App side so that there is a unique ID for logging in to the App XYZ. When the user uses the App XYZ, the user can search for some keywords, click on key information, browse and the like according to the interest or needs of the user. Therefore, the information of the personalized operations of the client at the App end is sent to the recommendation service module, so that the recommendation service module can draw the corresponding user portrait reliably according to the personalized operations of the user at the App end and return the user portrait to the App end, and when the App XYZ interface is displayed, the information which the client is interested in can be displayed in a more preferential manner at any time based on the information in the recommendation service module.
When a client selects to browse not on an App for some reason but on a browser end installed in the same terminal through a Web page, conventionally, unless the browser end also logs in the same ID as the App end, the browser end may not know a portrait of the user and cannot perform personalized recommendation, and thus the user may need to find information and content of interest to the user with great effort, which is not beneficial to the retention of the client.
On the other hand, in the present example 1, the above problem can be sufficiently solved.
In specific example 1 of the present invention, at the App end: once the user runs the App XYZ and logs in with the user ID, the App side creates a local resident process in the native machine, and implements a Web service returning the user ID in the resident process. The resident process implementation mode can be that a visible process is used, a widget is created on a screen, the priority of the visible process is high, and the normal condition cannot be recycled by the system unless the system resources are in shortage. It will be appreciated by those skilled in the art that the above-mentioned method is white keep-alive, and some gray keep-alive mechanisms can be used, and will not be described in detail here.
When a user selects to browse the corresponding application through a Web page at a browser end, a request for a localhost service is sent at the browser end to request a user ID when the user runs the browser. The localhost refers to the address of the service, because the service is local, the interface of the local machine can be accessed by using the localhost address, the user ID is a random unique ID generated by the platform for the user, after the login verification of the user is successful, the login interface can send the unique ID of the user to the App end, the App end stores the ID in the local for other local services to use, and when the user installs the App XYZ and logs in, the corresponding user ID can be taken in by a request. Thus, even if the user ID is not input to the browser, the user ID of the App can be acquired. After the browser receives the user ID, the browser judges whether the current Web page stores information such as keywords and the like, and if the current page has the information such as the keywords and the like, the information is sent to the recommendation service module. Here, the keyword is a search engine keyword, which can be obtained from document of the browser, but since the search engine is implemented differently, it is determined that the keyword information is not included in each search page jump. For example, after judgment, if the current Web page contains information, such as the keyword "watermelon", the keyword "watermelon" at the browser end is submitted to the recommendation service module, and then the recommendation service module can combine the "watermelon" with the user, and subsequent recommendations can recommend more watermelon-related things to the user no matter at the browser end or at the App end, so as to complete the recommendation service. After the recommendation service module obtains the user ID and the keyword of the Web page, a personalized result is generated according to the user ID and the keyword information, for example, according to the user ID and the keyword information, a tag such as "buyer", "watermelon", "fruit" and the like exists for the user in the recommendation service module, so that the recommendation service module can generate data containing various watermelon varieties, return the data to the browser end and further return the data to the application of the Web page, and thus a more complete personalized recommendation process and personalized information display corresponding to the App end can be performed on the Web page even if a login operation is not performed.
According to the example 1, when a user browses a website corresponding to App XYZ at a browser end, the user can directly obtain personalized recommendation which is consistent with and more complete with the App end without logging in a process at the browser end.
Example 2
The above example 1 describes an example in which, after the user first performs registration login on the terminal device through the App end and preliminarily describes the user portrait, the application also performs personalized recommendation corresponding to the App end when the browser end browses a Web page.
Next, another example of the present embodiment, example 2, will be described. In actual use, there are also cases where: the user firstly knows the application through the browser end and downloads the App XYZ through a page or a mall at the browser end after certain browsing. In this case, when the user installs the App XYZ and starts the App XYZ for the first time, the recommendation service module conventionally has no information of the user, and no personalized recommendation is made.
However, in example 2 according to this embodiment, when the user operates through the Web page at the browser side, the user may search for some keywords, click on the keywords, or the like, and when the browser side determines that the current Web page has keyword information, the keyword information is transmitted to the recommendation service module, so the recommendation service module may store the user portrait generated by the browser side at this time. Then, when the user starts the corresponding App XYZ at the terminal device, the user portrait from the browser end corresponding to the user is stored in the recommendation service module, so that personalized recommendation suitable for the user can be performed on the App end, and a regurgitation effect is realized.
According to the example 2 of the embodiment, when the App is started for the first time, the user can display the personalized recommended content according with the personality of the user, so that the use feeling of the user on the App can be effectively improved, and the good feeling is improved.
In summary, it can be seen from the above specific examples 1 and 2 that, by using the information recommendation method according to the embodiment of the present invention, uniform personalized recommendation can be implemented for users between an application program interface of an App end and a Web page of a browser end, and user portrait information can be supplemented and perfected mutually, so as to implement information sharing. On one hand, under the condition that a user installs an App on a terminal device and logs in, personalized recommendation of the user corresponding to the App end can be realized on the browser end without logging in, so that personalized recommendation of a Web page is more accurate, and the user can more easily see what the user needs; on the other hand, the Web page of the browser end can feed the portrait information of the user back to the recommendation service module, and for the user who downloads the App for the first time and logs in for the first time, the situation is different from the situation that the traditional recommendation service module does not have any information of the user.
Corresponding to the information recommendation method of App in the embodiment of the present invention, an information recommendation apparatus is further provided in the embodiment of the present invention, as shown in fig. 3. The monitoring device 300 may include: an application end 301, a browser end 302 and a recommendation service module 303. Various operations performed by the application terminal 301, the browser terminal 302, and the recommendation service module 303 in the information recommendation method described above can be performed.
By using the information recommendation device of the embodiment of the invention, the same technical effects as the information recommendation method described above can be achieved, and details are not described herein.
In addition, it should be noted that "unifying" in the personalized recommendation for unifying users between the application program interface and the Web page mentioned herein does not only mean that the personalized recommendation is identical, in other words, the personalized recommendation displayed on the application program interface and the personalized recommendation displayed on the Web page are identical, and the case that the personalized recommendation displayed on the application program side and the personalized recommendation displayed on the App side are substantially similar or substantially similar is also included.
In particular, the personalized recommendation process described above with reference may be implemented as a computer software program according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The modules described may also be provided in a processor.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: the method comprises the steps that a Web service is established locally by an application program end and used for communicating with a Web page in a browser, the Web page in the browser requests the local Web service through the communication, a user ID stored in the application program in advance is obtained and communicated with a recommendation service module, and the recommendation service module generates personalized information corresponding to a user according to the received user ID and returns the personalized information to the Web page for displaying.
According to the technical scheme of the embodiment of the invention, uniform personalized recommendation for the user can be realized between the application program interface of the App end and the Web page of the browser end, and the portrait information of the user can be supplemented and perfected mutually, so that the information sharing is realized. On one hand, under the condition that a user installs an App on a terminal device and logs in, personalized recommendation of the user corresponding to the App end can be realized on the browser end without logging in, so that personalized recommendation of a Web page is more accurate, and the user can more easily see what the user needs; on the other hand, the Web page of the browser end can feed the portrait information of the user back to the recommendation service module, and for the user who downloads the App for the first time and logs in for the first time, the situation is different from the situation that the traditional recommendation service module does not have any information of the user.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An information recommendation method for realizing unified personalized recommendation to users between an application program interface and a Web page is characterized by comprising the following steps:
the application side creates a Web service locally for communicating with the Web page of the browser side,
the Web page of the browser side requests the local Web service through the communication, acquires a user ID stored in advance in the application program side and communicates with the recommendation service module, an
And the recommendation service module generates personalized information corresponding to the user according to the user ID acquired by the browser end and returns the personalized information to the Web page of the browser end for displaying.
2. The information recommendation method according to claim 1,
the user ID pre-stored by the application terminal specifically includes:
the application program developer platform generates a random unique ID for a user, after the user login verification is successful, a login interface issues the ID unique to the user to an application program end, and the application program end stores the ID serving as the user ID in the local for other local services.
3. The information recommendation method according to claim 1,
the creating, by the application side, the Web service locally specifically includes:
and the application program end locally creates a resident process, and the Web service returning the user ID is realized in the resident process.
4. The information recommendation method according to claim 2,
the acquiring, by the Web page of the browser end, the user ID specifically includes:
the browser side sends a request for a localhost service to request a user ID, and accesses a local interface by using the address of the localhost to acquire the user ID.
5. The information recommendation method according to claim 1, further comprising the step of,
after the browser end acquires the user ID, judging whether the current Web page of the browser end stores the keyword information or not, and when the keyword information is judged to be stored, sending the keyword information to the recommendation service module, and
and the recommendation service module generates the personalized information according to the user ID and the keyword information.
6. An information recommendation apparatus for implementing a unified personalized recommendation to a user between an application program interface and a Web page, the apparatus comprising:
an application end, a browser end and a recommendation service module,
wherein, the application program end establishes Web service locally for communicating with the Web page in the browser of the browser end,
the Web page of the browser side requests local Web service through the communication, acquires a user ID stored in an application program in advance, communicates with the recommendation service module, and communicates with the recommendation service module
And the recommendation service module generates personalized information corresponding to the user according to the user ID acquired by the browser end and returns the personalized information to the Web page of the browser end for display.
7. The information recommendation device according to claim 6, wherein,
and the application program end locally creates a resident process, and the Web service returning the user ID is realized in the resident process.
8. The information recommendation device according to claim 6, wherein,
after the browser end acquires the user ID, judging whether the current Web page of the browser end stores the keyword information or not, and when the keyword information is judged to be stored, sending the keyword information to the recommendation service module, and sending the keyword information to the recommendation service module
And the recommendation service module generates the personalized information according to the user ID and the keyword information.
9. An electronic device for information recommendation, comprising:
one or more processors; and
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-5.
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| CN107770241A (en) * | 2017-08-22 | 2018-03-06 | 北京五八信息技术有限公司 | The acquisition methods and device of recommendation information |
| CN110750720A (en) * | 2019-10-21 | 2020-02-04 | 上海嵩恒网络科技股份有限公司 | Scene individual recommendation method and system based on PC (personal computer) terminal |
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